A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings

• Main Authors: Miller, Clayton, Nagy, Zoltan, Schlueter, Arno
• Other Authors: DEPT OF BUILDING
• Format: Review
• Language: English
• Published: PERGAMON-ELSEVIER SCIENCE LTD 2021
• Subjects: Green & Sustainable Science & Technology; Energy & Fuels; Science & Technology - Other Topics; Building performance analysis; Data mining; Unsupervised learning; Visual analytics; Clustering; Novelty detection; Smart meter analysis; Portfolio analysis; Review; Building controls and optimization; MODEL-PREDICTIVE CONTROL; FAULT-DETECTION; ARTIFICIAL-INTELLIGENCE; CLUSTERING-TECHNIQUES; KNOWLEDGE DISCOVERY; ENERGY-CONSUMPTION; ANOMALY DETECTION; LOAD PATTERNS
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/189462
• Institution: National University of Singapore

10.1016/j.rser.2017.05.124